Overview

Brought to you by YData

Dataset statistics

Number of variables59
Number of observations85171
Missing cells2021800
Missing cells (%)40.2%
Total size in memory38.3 MiB
Average record size in memory472.0 B

Variable types

Text4
DateTime1
Numeric54

Alerts

continent has 4111 (4.8%) missing values Missing
total_cases has 2099 (2.5%) missing values Missing
new_cases has 2101 (2.5%) missing values Missing
new_cases_smoothed has 3102 (3.6%) missing values Missing
total_deaths has 11763 (13.8%) missing values Missing
new_deaths has 11605 (13.6%) missing values Missing
new_deaths_smoothed has 3102 (3.6%) missing values Missing
total_cases_per_million has 2548 (3.0%) missing values Missing
new_cases_per_million has 2550 (3.0%) missing values Missing
new_cases_smoothed_per_million has 3546 (4.2%) missing values Missing
total_deaths_per_million has 12199 (14.3%) missing values Missing
new_deaths_per_million has 12041 (14.1%) missing values Missing
new_deaths_smoothed_per_million has 3546 (4.2%) missing values Missing
reproduction_rate has 16229 (19.1%) missing values Missing
icu_patients has 76487 (89.8%) missing values Missing
icu_patients_per_million has 76487 (89.8%) missing values Missing
hosp_patients has 74357 (87.3%) missing values Missing
hosp_patients_per_million has 74357 (87.3%) missing values Missing
weekly_icu_admissions has 84382 (99.1%) missing values Missing
weekly_icu_admissions_per_million has 84382 (99.1%) missing values Missing
weekly_hosp_admissions has 83876 (98.5%) missing values Missing
weekly_hosp_admissions_per_million has 83876 (98.5%) missing values Missing
new_tests has 46226 (54.3%) missing values Missing
total_tests has 46519 (54.6%) missing values Missing
total_tests_per_thousand has 46519 (54.6%) missing values Missing
new_tests_per_thousand has 46226 (54.3%) missing values Missing
new_tests_smoothed has 40546 (47.6%) missing values Missing
new_tests_smoothed_per_thousand has 40546 (47.6%) missing values Missing
positive_rate has 42267 (49.6%) missing values Missing
tests_per_case has 42860 (50.3%) missing values Missing
tests_units has 39092 (45.9%) missing values Missing
total_vaccinations has 75797 (89.0%) missing values Missing
people_vaccinated has 76427 (89.7%) missing values Missing
people_fully_vaccinated has 78740 (92.4%) missing values Missing
new_vaccinations has 77217 (90.7%) missing values Missing
new_vaccinations_smoothed has 70079 (82.3%) missing values Missing
total_vaccinations_per_hundred has 75797 (89.0%) missing values Missing
people_vaccinated_per_hundred has 76427 (89.7%) missing values Missing
people_fully_vaccinated_per_hundred has 78740 (92.4%) missing values Missing
new_vaccinations_smoothed_per_million has 70079 (82.3%) missing values Missing
stringency_index has 12964 (15.2%) missing values Missing
population_density has 5897 (6.9%) missing values Missing
median_age has 8465 (9.9%) missing values Missing
aged_65_older has 9341 (11.0%) missing values Missing
aged_70_older has 8895 (10.4%) missing values Missing
gdp_per_capita has 8125 (9.5%) missing values Missing
extreme_poverty has 32722 (38.4%) missing values Missing
cardiovasc_death_rate has 7537 (8.8%) missing values Missing
diabetes_prevalence has 6392 (7.5%) missing values Missing
female_smokers has 24343 (28.6%) missing values Missing
male_smokers has 25240 (29.6%) missing values Missing
handwashing_facilities has 46164 (54.2%) missing values Missing
hospital_beds_per_thousand has 14324 (16.8%) missing values Missing
life_expectancy has 4338 (5.1%) missing values Missing
human_development_index has 7654 (9.0%) missing values Missing
new_tests is highly skewed (γ1 = 73.3398412) Skewed
new_tests_per_thousand is highly skewed (γ1 = 162.700005) Skewed
new_cases has 17603 (20.7%) zeros Zeros
new_cases_smoothed has 5458 (6.4%) zeros Zeros
new_deaths has 29527 (34.7%) zeros Zeros
new_deaths_smoothed has 22599 (26.5%) zeros Zeros
new_cases_per_million has 17171 (20.2%) zeros Zeros
new_cases_smoothed_per_million has 5088 (6.0%) zeros Zeros
new_deaths_per_million has 29105 (34.2%) zeros Zeros
new_deaths_smoothed_per_million has 22384 (26.3%) zeros Zeros
positive_rate has 1264 (1.5%) zeros Zeros

Reproduction

Analysis started2025-01-27 15:00:16.175665
Analysis finished2025-01-27 15:00:17.094665
Duration0.92 seconds
Software versionydata-profiling vv4.12.2
Download configurationconfig.json

Variables

Distinct219
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size665.5 KiB
2025-01-27T20:32:56.895517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.271453899
Min length3

Characters and Unicode

Total characters278633
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAFG
2nd rowAFG
3rd rowAFG
4th rowAFG
5th rowAFG
ValueCountFrequency (%)
arg 486
 
0.6%
mex 486
 
0.6%
tha 483
 
0.6%
per 481
 
0.6%
twn 471
 
0.6%
kor 466
 
0.5%
jpn 465
 
0.5%
usa 465
 
0.5%
owid_nam 465
 
0.5%
owid_asi 465
 
0.5%
Other values (209) 80438
94.4%
2025-01-27T20:32:57.084517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 21057
 
7.6%
R 19670
 
7.1%
N 18845
 
6.8%
M 16150
 
5.8%
S 15463
 
5.5%
I 15162
 
5.4%
O 14337
 
5.1%
D 13891
 
5.0%
L 13719
 
4.9%
E 13085
 
4.7%
Other values (17) 117254
42.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 278633
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
A 21057
 
7.6%
R 19670
 
7.1%
N 18845
 
6.8%
M 16150
 
5.8%
S 15463
 
5.5%
I 15162
 
5.4%
O 14337
 
5.1%
D 13891
 
5.0%
L 13719
 
4.9%
E 13085
 
4.7%
Other values (17) 117254
42.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 278633
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
A 21057
 
7.6%
R 19670
 
7.1%
N 18845
 
6.8%
M 16150
 
5.8%
S 15463
 
5.5%
I 15162
 
5.4%
O 14337
 
5.1%
D 13891
 
5.0%
L 13719
 
4.9%
E 13085
 
4.7%
Other values (17) 117254
42.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 278633
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
A 21057
 
7.6%
R 19670
 
7.1%
N 18845
 
6.8%
M 16150
 
5.8%
S 15463
 
5.5%
I 15162
 
5.4%
O 14337
 
5.1%
D 13891
 
5.0%
L 13719
 
4.9%
E 13085
 
4.7%
Other values (17) 117254
42.1%

continent
Text

Missing 

Distinct6
Distinct (%)< 0.1%
Missing4111
Missing (%)4.8%
Memory size665.5 KiB
2025-01-27T20:32:57.132517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length13
Median length6
Mean length6.875277572
Min length4

Characters and Unicode

Total characters557310
Distinct characters20
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAsia
2nd rowAsia
3rd rowAsia
4th rowAsia
5th rowAsia
ValueCountFrequency (%)
africa 22255
23.0%
europe 20429
21.1%
asia 20234
20.9%
america 15546
16.1%
north 10311
10.7%
south 5235
 
5.4%
oceania 2596
 
2.7%
2025-01-27T20:32:57.218517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
r 68541
12.3%
a 63227
11.3%
i 60631
10.9%
A 58035
10.4%
c 40397
 
7.2%
e 38571
 
6.9%
o 35975
 
6.5%
u 25664
 
4.6%
f 22255
 
4.0%
E 20429
 
3.7%
Other values (10) 123585
22.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 557310
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
r 68541
12.3%
a 63227
11.3%
i 60631
10.9%
A 58035
10.4%
c 40397
 
7.2%
e 38571
 
6.9%
o 35975
 
6.5%
u 25664
 
4.6%
f 22255
 
4.0%
E 20429
 
3.7%
Other values (10) 123585
22.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 557310
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
r 68541
12.3%
a 63227
11.3%
i 60631
10.9%
A 58035
10.4%
c 40397
 
7.2%
e 38571
 
6.9%
o 35975
 
6.5%
u 25664
 
4.6%
f 22255
 
4.0%
E 20429
 
3.7%
Other values (10) 123585
22.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 557310
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
r 68541
12.3%
a 63227
11.3%
i 60631
10.9%
A 58035
10.4%
c 40397
 
7.2%
e 38571
 
6.9%
o 35975
 
6.5%
u 25664
 
4.6%
f 22255
 
4.0%
E 20429
 
3.7%
Other values (10) 123585
22.2%
Distinct219
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size665.5 KiB
2025-01-27T20:32:57.321517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length32
Median length24
Mean length8.45317068
Min length4

Characters and Unicode

Total characters719965
Distinct characters56
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAfghanistan
2nd rowAfghanistan
3rd rowAfghanistan
4th rowAfghanistan
5th rowAfghanistan
ValueCountFrequency (%)
and 2546
 
2.4%
south 1740
 
1.6%
united 1379
 
1.3%
saint 1294
 
1.2%
republic 1254
 
1.2%
guinea 1233
 
1.2%
america 899
 
0.8%
north 895
 
0.8%
africa 892
 
0.8%
new 835
 
0.8%
Other values (239) 93559
87.8%
2025-01-27T20:32:57.477516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 109958
15.3%
i 64418
 
8.9%
n 59467
 
8.3%
e 49943
 
6.9%
r 41417
 
5.8%
o 40235
 
5.6%
t 28443
 
4.0%
u 25890
 
3.6%
l 23886
 
3.3%
d 21983
 
3.1%
Other values (46) 254325
35.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 719965
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 109958
15.3%
i 64418
 
8.9%
n 59467
 
8.3%
e 49943
 
6.9%
r 41417
 
5.8%
o 40235
 
5.6%
t 28443
 
4.0%
u 25890
 
3.6%
l 23886
 
3.3%
d 21983
 
3.1%
Other values (46) 254325
35.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 719965
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 109958
15.3%
i 64418
 
8.9%
n 59467
 
8.3%
e 49943
 
6.9%
r 41417
 
5.8%
o 40235
 
5.6%
t 28443
 
4.0%
u 25890
 
3.6%
l 23886
 
3.3%
d 21983
 
3.1%
Other values (46) 254325
35.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 719965
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 109958
15.3%
i 64418
 
8.9%
n 59467
 
8.3%
e 49943
 
6.9%
r 41417
 
5.8%
o 40235
 
5.6%
t 28443
 
4.0%
u 25890
 
3.6%
l 23886
 
3.3%
d 21983
 
3.1%
Other values (46) 254325
35.3%

date
Date

Distinct486
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size665.5 KiB
Minimum2020-01-01 00:00:00
Maximum2021-04-30 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-01-27T20:32:57.531516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-01-27T20:32:57.588516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

total_cases
Real number (ℝ)

Missing 

Distinct45002
Distinct (%)54.2%
Missing2099
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean825008.281
Minimum1
Maximum151399480
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:32:57.643516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15
Q1930
median10422.5
Q3110594
95-th percentile2056835.45
Maximum151399480
Range151399479
Interquartile range (IQR)109664

Descriptive statistics

Standard deviation5705959.069
Coefficient of variation (CV)6.916244601
Kurtosis291.9372561
Mean825008.281
Median Absolute Deviation (MAD)10397.5
Skewness15.1807533
Sum6.853508792 × 1010
Variance3.25579689 × 1013
MonotonicityNot monotonic
2025-01-27T20:32:57.699516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1044
 
1.2%
3 425
 
0.5%
2 416
 
0.5%
721 401
 
0.5%
4 391
 
0.5%
509 371
 
0.4%
18 371
 
0.4%
27 341
 
0.4%
19 313
 
0.4%
24 304
 
0.4%
Other values (44992) 78695
92.4%
(Missing) 2099
 
2.5%
ValueCountFrequency (%)
1 1044
1.2%
2 416
 
0.5%
3 425
0.5%
4 391
 
0.5%
5 164
 
0.2%
ValueCountFrequency (%)
151399480 1
< 0.1%
150520466 1
< 0.1%
149622864 1
< 0.1%
148716872 1
< 0.1%
147872402 1
< 0.1%

new_cases
Real number (ℝ)

Missing  Zeros 

Distinct11616
Distinct (%)14.0%
Missing2101
Missing (%)2.5%
Infinite0
Infinite (%)0.0%
Mean5808.325352
Minimum-74347
Maximum905992
Zeros17603
Zeros (%)20.7%
Negative61
Negative (%)0.1%
Memory size665.5 KiB
2025-01-27T20:32:57.759516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-74347
5-th percentile0
Q12
median70
Q3764
95-th percentile15814.65
Maximum905992
Range980339
Interquartile range (IQR)762

Descriptive statistics

Standard deviation36285.12321
Coefficient of variation (CV)6.247088619
Kurtosis208.2436378
Mean5808.325352
Median Absolute Deviation (MAD)70
Skewness12.81572615
Sum482497587
Variance1316610166
MonotonicityNot monotonic
2025-01-27T20:32:57.818516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17603
 
20.7%
1 2402
 
2.8%
2 1549
 
1.8%
3 1212
 
1.4%
4 1015
 
1.2%
5 903
 
1.1%
6 836
 
1.0%
7 731
 
0.9%
8 658
 
0.8%
9 593
 
0.7%
Other values (11606) 55568
65.2%
(Missing) 2101
 
2.5%
ValueCountFrequency (%)
-74347 1
< 0.1%
-46076 1
< 0.1%
-17074 1
< 0.1%
-10034 1
< 0.1%
-7953 1
< 0.1%
ValueCountFrequency (%)
905992 1
< 0.1%
899755 1
< 0.1%
897839 1
< 0.1%
897602 1
< 0.1%
889975 1
< 0.1%

new_cases_smoothed
Real number (ℝ)

Missing  Zeros 

Distinct22158
Distinct (%)27.0%
Missing3102
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean5780.94148
Minimum-6223
Maximum826374.286
Zeros5458
Zeros (%)6.4%
Negative73
Negative (%)0.1%
Memory size665.5 KiB
2025-01-27T20:32:57.870572image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-6223
5-th percentile0
Q16.857
median85.571
Q3792.857
95-th percentile16038.5718
Maximum826374.286
Range832597.286
Interquartile range (IQR)786

Descriptive statistics

Standard deviation35533.7907
Coefficient of variation (CV)6.146713441
Kurtosis196.7293044
Mean5780.94148
Median Absolute Deviation (MAD)85.428
Skewness12.52861613
Sum474436086.4
Variance1262650282
MonotonicityNot monotonic
2025-01-27T20:32:57.924519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5458
 
6.4%
0.143 1536
 
1.8%
0.286 1053
 
1.2%
0.429 858
 
1.0%
0.714 675
 
0.8%
0.571 628
 
0.7%
0.857 529
 
0.6%
1 513
 
0.6%
1.143 475
 
0.6%
1.286 456
 
0.5%
Other values (22148) 69888
82.1%
(Missing) 3102
 
3.6%
ValueCountFrequency (%)
-6223 1
 
< 0.1%
-5648.714 3
< 0.1%
-5407.714 1
 
< 0.1%
-4903.286 1
 
< 0.1%
-4464 1
 
< 0.1%
ValueCountFrequency (%)
826374.286 1
< 0.1%
825720.571 1
< 0.1%
825413 1
< 0.1%
824854.571 1
< 0.1%
823432.429 1
< 0.1%

total_deaths
Real number (ℝ)

Missing 

Distinct17139
Distinct (%)23.3%
Missing11763
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean23004.08894
Minimum1
Maximum3180238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:32:57.978520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q145
median315
Q33045
95-th percentile80233.75
Maximum3180238
Range3180237
Interquartile range (IQR)3000

Descriptive statistics

Standard deviation136029.6635
Coefficient of variation (CV)5.913281931
Kurtosis228.8652209
Mean23004.08894
Median Absolute Deviation (MAD)309
Skewness13.36929827
Sum1688684161
Variance1.850406934 × 1010
MonotonicityNot monotonic
2025-01-27T20:32:58.035519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2069
 
2.4%
3 1322
 
1.6%
2 1315
 
1.5%
7 1205
 
1.4%
10 1032
 
1.2%
15 685
 
0.8%
6 605
 
0.7%
4 599
 
0.7%
9 579
 
0.7%
21 545
 
0.6%
Other values (17129) 63452
74.5%
(Missing) 11763
 
13.8%
ValueCountFrequency (%)
1 2069
2.4%
2 1315
1.5%
3 1322
1.6%
4 599
 
0.7%
5 457
 
0.5%
ValueCountFrequency (%)
3180238 1
< 0.1%
3165665 1
< 0.1%
3150675 1
< 0.1%
3134956 1
< 0.1%
3120469 1
< 0.1%

new_deaths
Real number (ℝ)

Missing  Zeros 

Distinct2739
Distinct (%)3.7%
Missing11605
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean139.0526058
Minimum-1918
Maximum17906
Zeros29527
Zeros (%)34.7%
Negative83
Negative (%)0.1%
Memory size665.5 KiB
2025-01-27T20:32:58.090518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1918
5-th percentile0
Q10
median2
Q318
95-th percentile496
Maximum17906
Range19824
Interquartile range (IQR)18

Descriptive statistics

Standard deviation758.8822288
Coefficient of variation (CV)5.457518932
Kurtosis164.4821764
Mean139.0526058
Median Absolute Deviation (MAD)2
Skewness11.22109977
Sum10229544
Variance575902.2371
MonotonicityNot monotonic
2025-01-27T20:32:58.148520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29527
34.7%
1 6057
 
7.1%
2 3579
 
4.2%
3 2592
 
3.0%
4 2159
 
2.5%
5 1760
 
2.1%
6 1398
 
1.6%
7 1154
 
1.4%
8 1124
 
1.3%
9 949
 
1.1%
Other values (2729) 23267
27.3%
(Missing) 11605
 
13.6%
ValueCountFrequency (%)
-1918 1
< 0.1%
-1583 1
< 0.1%
-1354 1
< 0.1%
-443 1
< 0.1%
-232 1
< 0.1%
ValueCountFrequency (%)
17906 1
< 0.1%
17307 1
< 0.1%
17103 1
< 0.1%
17049 1
< 0.1%
16788 1
< 0.1%

new_deaths_smoothed
Real number (ℝ)

Missing  Zeros 

Distinct6173
Distinct (%)7.5%
Missing3102
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean122.9925774
Minimum-232.143
Maximum14435.143
Zeros22599
Zeros (%)26.5%
Negative111
Negative (%)0.1%
Memory size665.5 KiB
2025-01-27T20:32:58.206518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-232.143
5-th percentile0
Q10
median1.286
Q313.571
95-th percentile420
Maximum14435.143
Range14667.286
Interquartile range (IQR)13.571

Descriptive statistics

Standard deviation693.3916381
Coefficient of variation (CV)5.637670604
Kurtosis161.6725945
Mean122.9925774
Median Absolute Deviation (MAD)1.286
Skewness11.28214075
Sum10093877.83
Variance480791.9637
MonotonicityNot monotonic
2025-01-27T20:32:58.264518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22599
26.5%
0.143 5805
 
6.8%
0.286 3544
 
4.2%
0.429 2406
 
2.8%
0.571 1834
 
2.2%
0.714 1471
 
1.7%
0.857 1156
 
1.4%
1 1062
 
1.2%
1.143 922
 
1.1%
1.429 805
 
0.9%
Other values (6163) 40465
47.5%
(Missing) 3102
 
3.6%
ValueCountFrequency (%)
-232.143 1
< 0.1%
-221.857 1
< 0.1%
-215.286 1
< 0.1%
-125 1
< 0.1%
-117.286 1
< 0.1%
ValueCountFrequency (%)
14435.143 1
< 0.1%
14331.571 1
< 0.1%
14297.143 1
< 0.1%
14259.857 1
< 0.1%
14185.571 1
< 0.1%

total_cases_per_million
Real number (ℝ)

Missing 

Distinct64268
Distinct (%)77.8%
Missing2548
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean10062.09427
Minimum0.001
Maximum171254.773
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:32:58.411519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.001
5-th percentile2.959
Q1202.464
median1383.968
Q39898.76
95-th percentile53451.0068
Maximum171254.773
Range171254.772
Interquartile range (IQR)9696.296

Descriptive statistics

Standard deviation19295.83315
Coefficient of variation (CV)1.917675648
Kurtosis11.62722686
Mean10062.09427
Median Absolute Deviation (MAD)1372.971
Skewness3.042180218
Sum831360414.9
Variance372329177
MonotonicityNot monotonic
2025-01-27T20:32:58.468518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.521 358
 
0.4%
33374.536 196
 
0.2%
67.574 165
 
0.2%
14833.127 159
 
0.2%
3.256 118
 
0.1%
1395.313 111
 
0.1%
2.611 105
 
0.1%
18.203 102
 
0.1%
8.694 100
 
0.1%
322.298 92
 
0.1%
Other values (64258) 81117
95.2%
(Missing) 2548
 
3.0%
ValueCountFrequency (%)
0.001 18
< 0.1%
0.002 32
< 0.1%
0.003 6
 
< 0.1%
0.004 5
 
< 0.1%
0.005 17
< 0.1%
ValueCountFrequency (%)
171254.773 1
< 0.1%
170814.729 1
< 0.1%
170167.605 1
< 0.1%
169818.158 1
< 0.1%
169326.344 1
< 0.1%

new_cases_per_million
Real number (ℝ)

Missing  Zeros 

Distinct36781
Distinct (%)44.5%
Missing2550
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean74.33719312
Minimum-2153.437
Maximum8652.658
Zeros17171
Zeros (%)20.2%
Negative61
Negative (%)0.1%
Memory size665.5 KiB
2025-01-27T20:32:58.525518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-2153.437
5-th percentile0
Q10.19
median7.643
Q367.692
95-th percentile372.575
Maximum8652.658
Range10806.095
Interquartile range (IQR)67.502

Descriptive statistics

Standard deviation175.7405696
Coefficient of variation (CV)2.364100153
Kurtosis179.4818875
Mean74.33719312
Median Absolute Deviation (MAD)7.643
Skewness7.536592757
Sum6141813.233
Variance30884.74781
MonotonicityNot monotonic
2025-01-27T20:32:58.581518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17171
 
20.2%
0.207 96
 
0.1%
0.042 94
 
0.1%
0.084 88
 
0.1%
0.01 86
 
0.1%
3.48 68
 
0.1%
0.415 67
 
0.1%
0.041 66
 
0.1%
0.168 66
 
0.1%
0.305 64
 
0.1%
Other values (36771) 64755
76.0%
(Missing) 2550
 
3.0%
ValueCountFrequency (%)
-2153.437 1
< 0.1%
-1590.147 1
< 0.1%
-676.12 1
< 0.1%
-559.844 1
< 0.1%
-450.772 1
< 0.1%
ValueCountFrequency (%)
8652.658 2
< 0.1%
3869.799 1
< 0.1%
3714.489 1
< 0.1%
3708.282 1
< 0.1%
3475.672 1
< 0.1%

new_cases_smoothed_per_million
Real number (ℝ)

Missing  Zeros 

Distinct41460
Distinct (%)50.8%
Missing3546
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean74.30732328
Minimum-276.825
Maximum2648.773
Zeros5088
Zeros (%)6.0%
Negative73
Negative (%)0.1%
Memory size665.5 KiB
2025-01-27T20:32:58.634519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-276.825
5-th percentile0
Q11.153
median10.047
Q375.369
95-th percentile370.7982
Maximum2648.773
Range2925.598
Interquartile range (IQR)74.216

Descriptive statistics

Standard deviation149.0267864
Coefficient of variation (CV)2.005546423
Kurtosis17.78358271
Mean74.30732328
Median Absolute Deviation (MAD)10.016
Skewness3.558088384
Sum6065335.263
Variance22208.98308
MonotonicityNot monotonic
2025-01-27T20:32:58.688519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5088
 
6.0%
0.024 115
 
0.1%
0.327 111
 
0.1%
0.059 98
 
0.1%
0.108 91
 
0.1%
0.009 90
 
0.1%
0.026 88
 
0.1%
0.018 88
 
0.1%
0.043 87
 
0.1%
0.017 87
 
0.1%
Other values (41450) 75682
88.9%
(Missing) 3546
 
4.2%
ValueCountFrequency (%)
-276.825 1
< 0.1%
-269.978 1
< 0.1%
-266.783 1
< 0.1%
-262.447 1
< 0.1%
-259.481 1
< 0.1%
ValueCountFrequency (%)
2648.773 2
< 0.1%
2472.188 2
< 0.1%
1536.03 1
< 0.1%
1526.243 1
< 0.1%
1505.362 1
< 0.1%

total_deaths_per_million
Real number (ℝ)

Missing 

Distinct39808
Distinct (%)54.6%
Missing12199
Missing (%)14.3%
Infinite0
Infinite (%)0.0%
Mean224.882585
Minimum0.001
Maximum2850.828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:32:58.740518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.001
5-th percentile0.352
Q16.857
median39.3515
Q3240.62825
95-th percentile1152.15555
Maximum2850.828
Range2850.827
Interquartile range (IQR)233.77125

Descriptive statistics

Standard deviation394.7223503
Coefficient of variation (CV)1.755237518
Kurtosis6.599492793
Mean224.882585
Median Absolute Deviation (MAD)38.1325
Skewness2.488909211
Sum16410131.99
Variance155805.7338
MonotonicityNot monotonic
2025-01-27T20:32:58.796518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.352 406
 
0.5%
7.863 339
 
0.4%
6.857 320
 
0.4%
0.294 269
 
0.3%
24.359 267
 
0.3%
0.084 266
 
0.3%
2.231 249
 
0.3%
0.36 240
 
0.3%
30.635 212
 
0.2%
26.221 209
 
0.2%
Other values (39798) 70195
82.4%
(Missing) 12199
 
14.3%
ValueCountFrequency (%)
0.001 16
< 0.1%
0.002 17
< 0.1%
0.003 6
 
< 0.1%
0.004 8
< 0.1%
0.005 13
< 0.1%
ValueCountFrequency (%)
2850.828 1
< 0.1%
2831.988 1
< 0.1%
2812.735 1
< 0.1%
2793.274 1
< 0.1%
2774.33 1
< 0.1%

new_deaths_per_million
Real number (ℝ)

Missing  Zeros 

Distinct7104
Distinct (%)9.7%
Missing12041
Missing (%)14.1%
Infinite0
Infinite (%)0.0%
Mean1.507874115
Minimum-76.445
Maximum218.329
Zeros29105
Zeros (%)34.2%
Negative83
Negative (%)0.1%
Memory size665.5 KiB
2025-01-27T20:32:58.850521image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-76.445
5-th percentile0
Q10
median0.121
Q31.282
95-th percentile7.624
Maximum218.329
Range294.774
Interquartile range (IQR)1.282

Descriptive statistics

Standard deviation3.979279357
Coefficient of variation (CV)2.638999714
Kurtosis311.5286356
Mean1.507874115
Median Absolute Deviation (MAD)0.121
Skewness10.72906763
Sum110270.834
Variance15.8346642
MonotonicityNot monotonic
2025-01-27T20:32:58.905518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29105
34.2%
0.061 176
 
0.2%
0.588 171
 
0.2%
0.347 169
 
0.2%
0.03 164
 
0.2%
0.202 145
 
0.2%
0.196 139
 
0.2%
0.076 137
 
0.2%
0.032 135
 
0.2%
0.001 134
 
0.2%
Other values (7094) 42655
50.1%
(Missing) 12041
 
14.1%
ValueCountFrequency (%)
-76.445 1
< 0.1%
-67.901 1
< 0.1%
-41.023 1
< 0.1%
-22.972 1
< 0.1%
-12.248 1
< 0.1%
ValueCountFrequency (%)
218.329 1
< 0.1%
176.793 1
< 0.1%
141.865 1
< 0.1%
125.653 1
< 0.1%
117.888 1
< 0.1%

new_deaths_smoothed_per_million
Real number (ℝ)

Missing  Zeros 

Distinct8428
Distinct (%)10.3%
Missing3546
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean1.335129078
Minimum-10.921
Maximum63.14
Zeros22384
Zeros (%)26.3%
Negative111
Negative (%)0.1%
Memory size665.5 KiB
2025-01-27T20:32:58.959518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-10.921
5-th percentile0
Q10
median0.14
Q31.212
95-th percentile6.942
Maximum63.14
Range74.061
Interquartile range (IQR)1.212

Descriptive statistics

Standard deviation2.93649992
Coefficient of variation (CV)2.199412752
Kurtosis30.40889571
Mean1.335129078
Median Absolute Deviation (MAD)0.14
Skewness4.316085212
Sum108979.911
Variance8.623031779
MonotonicityNot monotonic
2025-01-27T20:32:59.016515image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 22384
26.3%
0.022 502
 
0.6%
0.026 446
 
0.5%
0.013 408
 
0.5%
0.011 382
 
0.4%
0.007 363
 
0.4%
0.009 342
 
0.4%
0.005 322
 
0.4%
0.006 308
 
0.4%
0.017 292
 
0.3%
Other values (8418) 55876
65.6%
(Missing) 3546
 
4.2%
ValueCountFrequency (%)
-10.921 7
< 0.1%
-9.656 3
< 0.1%
-9.613 2
 
< 0.1%
-9.591 1
 
< 0.1%
-9.547 1
 
< 0.1%
ValueCountFrequency (%)
63.14 2
< 0.1%
58.931 1
 
< 0.1%
54.722 1
 
< 0.1%
42.094 4
< 0.1%
37.884 4
< 0.1%

reproduction_rate
Real number (ℝ)

Missing 

Distinct369
Distinct (%)0.5%
Missing16229
Missing (%)19.1%
Infinite0
Infinite (%)0.0%
Mean1.019094166
Minimum-0.01
Maximum5.76
Zeros636
Zeros (%)0.7%
Negative3
Negative (%)< 0.1%
Memory size665.5 KiB
2025-01-27T20:32:59.073518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-0.01
5-th percentile0.41
Q10.86
median1.02
Q31.1875
95-th percentile1.53
Maximum5.76
Range5.77
Interquartile range (IQR)0.3275

Descriptive statistics

Standard deviation0.3567929717
Coefficient of variation (CV)0.3501079523
Kurtosis7.410602189
Mean1.019094166
Median Absolute Deviation (MAD)0.16
Skewness0.7465240072
Sum70258.39
Variance0.1273012247
MonotonicityNot monotonic
2025-01-27T20:32:59.130518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.02 1312
 
1.5%
1 1262
 
1.5%
0.99 1258
 
1.5%
0.97 1246
 
1.5%
0.98 1241
 
1.5%
1.04 1204
 
1.4%
1.03 1193
 
1.4%
1.09 1192
 
1.4%
1.08 1188
 
1.4%
1.06 1177
 
1.4%
Other values (359) 56669
66.5%
(Missing) 16229
 
19.1%
ValueCountFrequency (%)
-0.01 3
 
< 0.1%
0 636
0.7%
0.01 110
 
0.1%
0.02 64
 
0.1%
0.03 71
 
0.1%
ValueCountFrequency (%)
5.76 1
< 0.1%
5.5 1
< 0.1%
5.17 1
< 0.1%
5.15 1
< 0.1%
4.84 1
< 0.1%

icu_patients
Real number (ℝ)

Missing 

Distinct2366
Distinct (%)27.2%
Missing76487
Missing (%)89.8%
Infinite0
Infinite (%)0.0%
Mean1087.808268
Minimum0
Maximum30028
Zeros275
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:32:59.187518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q131
median178
Q3699
95-th percentile4546.95
Maximum30028
Range30028
Interquartile range (IQR)668

Descriptive statistics

Standard deviation3036.3712
Coefficient of variation (CV)2.791274243
Kurtosis39.65050586
Mean1087.808268
Median Absolute Deviation (MAD)171
Skewness5.774333619
Sum9446527
Variance9219550.065
MonotonicityNot monotonic
2025-01-27T20:32:59.244518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 275
 
0.3%
1 184
 
0.2%
2 161
 
0.2%
3 119
 
0.1%
4 94
 
0.1%
6 79
 
0.1%
15 73
 
0.1%
5 71
 
0.1%
11 68
 
0.1%
17 63
 
0.1%
Other values (2356) 7497
 
8.8%
(Missing) 76487
89.8%
ValueCountFrequency (%)
0 275
0.3%
1 184
0.2%
2 161
0.2%
3 119
0.1%
4 94
 
0.1%
ValueCountFrequency (%)
30028 1
< 0.1%
28869 1
< 0.1%
28746 1
< 0.1%
28740 1
< 0.1%
28639 1
< 0.1%

icu_patients_per_million
Real number (ℝ)

Missing 

Distinct4969
Distinct (%)57.2%
Missing76487
Missing (%)89.8%
Infinite0
Infinite (%)0.0%
Mean26.41084017
Minimum0
Maximum192.642
Zeros275
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:32:59.304518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.691
Q14.389
median16.3645
Q341.033
95-th percentile81.14615
Maximum192.642
Range192.642
Interquartile range (IQR)36.644

Descriptive statistics

Standard deviation27.86938192
Coefficient of variation (CV)1.055225118
Kurtosis3.348674959
Mean26.41084017
Median Absolute Deviation (MAD)14.3395
Skewness1.573620521
Sum229351.736
Variance776.7024486
MonotonicityNot monotonic
2025-01-27T20:32:59.359517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 275
 
0.3%
0.754 56
 
0.1%
1.508 42
 
< 0.1%
2.283 39
 
< 0.1%
1.142 34
 
< 0.1%
1.598 33
 
< 0.1%
3.195 30
 
< 0.1%
1.443 28
 
< 0.1%
4.793 28
 
< 0.1%
0.518 23
 
< 0.1%
Other values (4959) 8096
 
9.5%
(Missing) 76487
89.8%
ValueCountFrequency (%)
0 275
0.3%
0.015 10
 
< 0.1%
0.026 1
 
< 0.1%
0.029 1
 
< 0.1%
0.053 3
 
< 0.1%
ValueCountFrequency (%)
192.642 1
< 0.1%
191.521 1
< 0.1%
190.308 1
< 0.1%
189.187 1
< 0.1%
188.347 1
< 0.1%

hosp_patients
Real number (ℝ)

Missing 

Distinct4597
Distinct (%)42.5%
Missing74357
Missing (%)87.3%
Infinite0
Infinite (%)0.0%
Mean4832.767339
Minimum0
Maximum129800
Zeros158
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:32:59.417514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q1111
median679
Q32806.75
95-th percentile27467.95
Maximum129800
Range129800
Interquartile range (IQR)2695.75

Descriptive statistics

Standard deviation12440.91379
Coefficient of variation (CV)2.574283618
Kurtosis38.31340488
Mean4832.767339
Median Absolute Deviation (MAD)658
Skewness5.368426137
Sum52261546
Variance154776335.9
MonotonicityNot monotonic
2025-01-27T20:32:59.563514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 158
 
0.2%
1 84
 
0.1%
7 82
 
0.1%
4 80
 
0.1%
6 75
 
0.1%
3 64
 
0.1%
2 63
 
0.1%
5 61
 
0.1%
9 55
 
0.1%
18 52
 
0.1%
Other values (4587) 10040
 
11.8%
(Missing) 74357
87.3%
ValueCountFrequency (%)
0 158
0.2%
1 84
0.1%
2 63
 
0.1%
3 64
0.1%
4 80
0.1%
ValueCountFrequency (%)
129800 1
< 0.1%
128766 1
< 0.1%
128673 1
< 0.1%
127776 1
< 0.1%
127540 1
< 0.1%

hosp_patients_per_million
Real number (ℝ)

Missing 

Distinct8191
Distinct (%)75.7%
Missing74357
Missing (%)87.3%
Infinite0
Infinite (%)0.0%
Mean173.7719399
Minimum0
Maximum1532.573
Zeros158
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:32:59.617514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.43
Q122.618
median81.5415
Q3257.343
95-th percentile604.6344
Maximum1532.573
Range1532.573
Interquartile range (IQR)234.725

Descriptive statistics

Standard deviation216.3789281
Coefficient of variation (CV)1.245189115
Kurtosis5.067723884
Mean173.7719399
Median Absolute Deviation (MAD)72.8005
Skewness1.992653839
Sum1879169.758
Variance46819.84051
MonotonicityNot monotonic
2025-01-27T20:32:59.673514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 158
 
0.2%
2.93 41
 
< 0.1%
5.861 23
 
< 0.1%
4.567 23
 
< 0.1%
1.59 21
 
< 0.1%
3.015 19
 
< 0.1%
7.992 17
 
< 0.1%
3.711 17
 
< 0.1%
0.754 16
 
< 0.1%
2.886 15
 
< 0.1%
Other values (8181) 10464
 
12.3%
(Missing) 74357
87.3%
ValueCountFrequency (%)
0 158
0.2%
0.015 2
 
< 0.1%
0.029 1
 
< 0.1%
0.058 1
 
< 0.1%
0.059 2
 
< 0.1%
ValueCountFrequency (%)
1532.573 1
< 0.1%
1514.152 1
< 0.1%
1500.911 1
< 0.1%
1497.313 1
< 0.1%
1497.026 1
< 0.1%

weekly_icu_admissions
Real number (ℝ)

Missing 

Distinct585
Distinct (%)74.1%
Missing84382
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean280.6731458
Minimum0
Maximum4037.019
Zeros19
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:32:59.731514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9932
Q17.935
median46.677
Q3223.444
95-th percentile1721.0982
Maximum4037.019
Range4037.019
Interquartile range (IQR)215.509

Descriptive statistics

Standard deviation588.426814
Coefficient of variation (CV)2.096484195
Kurtosis10.75780046
Mean280.6731458
Median Absolute Deviation (MAD)44.693
Skewness3.185338768
Sum221451.112
Variance346246.1154
MonotonicityNot monotonic
2025-01-27T20:32:59.788514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
< 0.1%
1.01 11
 
< 0.1%
0.986 10
 
< 0.1%
3.432 9
 
< 0.1%
0.998 8
 
< 0.1%
2.976 4
 
< 0.1%
0.992 4
 
< 0.1%
5.149 4
 
< 0.1%
3.03 4
 
< 0.1%
3.968 4
 
< 0.1%
Other values (575) 712
 
0.8%
(Missing) 84382
99.1%
ValueCountFrequency (%)
0 19
< 0.1%
0.858 2
 
< 0.1%
0.937 1
 
< 0.1%
0.986 10
< 0.1%
0.989 4
 
< 0.1%
ValueCountFrequency (%)
4037.019 1
< 0.1%
3791.032 1
< 0.1%
3157.337 1
< 0.1%
3095.588 1
< 0.1%
2998.408 1
< 0.1%

weekly_icu_admissions_per_million
Real number (ℝ)

Missing 

Distinct582
Distinct (%)73.8%
Missing84382
Missing (%)99.1%
Infinite0
Infinite (%)0.0%
Mean21.12165272
Minimum0
Maximum279.13
Zeros19
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:32:59.844514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.201
Q11.781
median8.937
Q322.764
95-th percentile83.3476
Maximum279.13
Range279.13
Interquartile range (IQR)20.983

Descriptive statistics

Standard deviation37.11939315
Coefficient of variation (CV)1.7574095
Kurtosis16.51925129
Mean21.12165272
Median Absolute Deviation (MAD)7.819
Skewness3.701906597
Sum16664.984
Variance1377.849348
MonotonicityNot monotonic
2025-01-27T20:32:59.896514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
< 0.1%
0.186 11
 
< 0.1%
1.126 10
 
< 0.1%
7.774 9
 
< 0.1%
0.373 8
 
< 0.1%
0.752 8
 
< 0.1%
0.559 4
 
< 0.1%
0.477 4
 
< 0.1%
1.431 4
 
< 0.1%
0.775 4
 
< 0.1%
Other values (572) 708
 
0.8%
(Missing) 84382
99.1%
ValueCountFrequency (%)
0 19
< 0.1%
0.063 1
 
< 0.1%
0.115 1
 
< 0.1%
0.148 1
 
< 0.1%
0.169 1
 
< 0.1%
ValueCountFrequency (%)
279.13 1
< 0.1%
276.418 1
< 0.1%
261.363 1
< 0.1%
260.615 1
< 0.1%
227.98 1
< 0.1%

weekly_hosp_admissions
Real number (ℝ)

Missing 

Distinct1174
Distinct (%)90.7%
Missing83876
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean3981.037431
Minimum0
Maximum116374
Zeros14
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:32:59.950514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.7399
Q159.31
median366
Q31977.885
95-th percentile17195.1425
Maximum116374
Range116374
Interquartile range (IQR)1918.575

Descriptive statistics

Standard deviation11632.51168
Coefficient of variation (CV)2.921979981
Kurtosis42.61170336
Mean3981.037431
Median Absolute Deviation (MAD)357.017
Skewness5.930375659
Sum5155443.473
Variance135315328
MonotonicityNot monotonic
2025-01-27T20:33:00.006514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14
 
< 0.1%
0.986 11
 
< 0.1%
0.937 11
 
< 0.1%
0.858 6
 
< 0.1%
5.918 4
 
< 0.1%
1.996 4
 
< 0.1%
3.432 4
 
< 0.1%
3.945 3
 
< 0.1%
21.885 3
 
< 0.1%
1.973 3
 
< 0.1%
Other values (1164) 1232
 
1.4%
(Missing) 83876
98.5%
ValueCountFrequency (%)
0 14
< 0.1%
0.858 6
< 0.1%
0.937 11
< 0.1%
0.974 2
 
< 0.1%
0.986 11
< 0.1%
ValueCountFrequency (%)
116374 1
< 0.1%
112327 1
< 0.1%
108739 1
< 0.1%
106330 1
< 0.1%
104988 1
< 0.1%

weekly_hosp_admissions_per_million
Real number (ℝ)

Missing 

Distinct1168
Distinct (%)90.2%
Missing83876
Missing (%)98.5%
Infinite0
Infinite (%)0.0%
Mean115.5178201
Minimum0
Maximum2656.911
Zeros14
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:00.063514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.4154
Q110.0965
median44.249
Q3130.191
95-th percentile401.154
Maximum2656.911
Range2656.911
Interquartile range (IQR)120.0945

Descriptive statistics

Standard deviation230.4745439
Coefficient of variation (CV)1.995142773
Kurtosis47.0225293
Mean115.5178201
Median Absolute Deviation (MAD)40.362
Skewness5.83488704
Sum149595.577
Variance53118.51538
MonotonicityNot monotonic
2025-01-27T20:33:00.122514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 14
 
< 0.1%
1.126 11
 
< 0.1%
2.746 11
 
< 0.1%
1.943 7
 
< 0.1%
1.505 4
 
< 0.1%
7.774 4
 
< 0.1%
6.757 4
 
< 0.1%
0.477 3
 
< 0.1%
2.236 3
 
< 0.1%
1.611 3
 
< 0.1%
Other values (1158) 1231
 
1.4%
(Missing) 83876
98.5%
ValueCountFrequency (%)
0 14
< 0.1%
0.155 1
 
< 0.1%
0.172 1
 
< 0.1%
0.246 1
 
< 0.1%
0.287 1
 
< 0.1%
ValueCountFrequency (%)
2656.911 1
< 0.1%
2655.876 1
< 0.1%
2435.221 1
< 0.1%
2414.268 1
< 0.1%
1898.717 1
< 0.1%

new_tests
Real number (ℝ)

Missing  Skewed 

Distinct21104
Distinct (%)54.2%
Missing46226
Missing (%)54.3%
Infinite0
Infinite (%)0.0%
Mean44019.99345
Minimum-239172
Maximum32022805
Zeros0
Zeros (%)0.0%
Negative12
Negative (%)< 0.1%
Memory size665.5 KiB
2025-01-27T20:33:00.180513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-239172
5-th percentile130
Q11433
median5446
Q321579
95-th percentile172675.6
Maximum32022805
Range32261977
Interquartile range (IQR)20146

Descriptive statistics

Standard deviation228082.8907
Coefficient of variation (CV)5.181347675
Kurtosis9938.061731
Mean44019.99345
Median Absolute Deviation (MAD)5014
Skewness73.3398412
Sum1714358645
Variance5.202180505 × 1010
MonotonicityNot monotonic
2025-01-27T20:33:00.240513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 65
 
0.1%
2 53
 
0.1%
4 39
 
< 0.1%
5 38
 
< 0.1%
3 32
 
< 0.1%
10 29
 
< 0.1%
24 26
 
< 0.1%
7 25
 
< 0.1%
18 24
 
< 0.1%
12 24
 
< 0.1%
Other values (21094) 38590
45.3%
(Missing) 46226
54.3%
ValueCountFrequency (%)
-239172 1
< 0.1%
-75493 1
< 0.1%
-47510 1
< 0.1%
-45335 1
< 0.1%
-3743 1
< 0.1%
ValueCountFrequency (%)
32022805 1
< 0.1%
2945871 1
< 0.1%
2309578 1
< 0.1%
2259114 1
< 0.1%
2242906 1
< 0.1%

total_tests
Real number (ℝ)

Missing 

Distinct37695
Distinct (%)97.5%
Missing46519
Missing (%)54.6%
Infinite0
Infinite (%)0.0%
Mean5963484.146
Minimum0
Maximum413502739
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:00.297513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4320.55
Q1124639
median620733.5
Q32582847.25
95-th percentile17259203.95
Maximum413502739
Range413502739
Interquartile range (IQR)2458208.25

Descriptive statistics

Standard deviation27026570.04
Coefficient of variation (CV)4.532010043
Kurtosis99.71573854
Mean5963484.146
Median Absolute Deviation (MAD)591831.5
Skewness9.214607822
Sum2.305005892 × 1011
Variance7.304354881 × 1014
MonotonicityNot monotonic
2025-01-27T20:33:00.352514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 10
 
< 0.1%
1 9
 
< 0.1%
8 8
 
< 0.1%
4 8
 
< 0.1%
16 7
 
< 0.1%
9 7
 
< 0.1%
14 6
 
< 0.1%
41 6
 
< 0.1%
3 6
 
< 0.1%
111 6
 
< 0.1%
Other values (37685) 38579
45.3%
(Missing) 46519
54.6%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 9
< 0.1%
2 10
< 0.1%
3 6
< 0.1%
4 8
< 0.1%
ValueCountFrequency (%)
413502739 1
< 0.1%
413060172 1
< 0.1%
412540450 1
< 0.1%
412107896 1
< 0.1%
411283795 1
< 0.1%

total_tests_per_thousand
Real number (ℝ)

Missing 

Distinct33166
Distinct (%)85.8%
Missing46519
Missing (%)54.6%
Infinite0
Infinite (%)0.0%
Mean227.4760523
Minimum0
Maximum6233.953
Zeros63
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:00.402514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.35355
Q111.19275
median55.466
Q3224.88975
95-th percentile917.88655
Maximum6233.953
Range6233.953
Interquartile range (IQR)213.697

Descriptive statistics

Standard deviation495.3537687
Coefficient of variation (CV)2.177608428
Kurtosis35.23213152
Mean227.4760523
Median Absolute Deviation (MAD)52.697
Skewness5.140267945
Sum8792404.375
Variance245375.3562
MonotonicityNot monotonic
2025-01-27T20:33:00.457513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.001 86
 
0.1%
0 63
 
0.1%
0.002 54
 
0.1%
0.003 46
 
0.1%
0.004 31
 
< 0.1%
0.007 30
 
< 0.1%
0.01 29
 
< 0.1%
0.012 25
 
< 0.1%
0.015 24
 
< 0.1%
0.011 23
 
< 0.1%
Other values (33156) 38241
44.9%
(Missing) 46519
54.6%
ValueCountFrequency (%)
0 63
0.1%
0.001 86
0.1%
0.002 54
0.1%
0.003 46
0.1%
0.004 31
 
< 0.1%
ValueCountFrequency (%)
6233.953 1
< 0.1%
6208.179 1
< 0.1%
6180.093 1
< 0.1%
6141.892 1
< 0.1%
6080.094 1
< 0.1%

new_tests_per_thousand
Real number (ℝ)

Missing  Skewed 

Distinct6942
Distinct (%)17.8%
Missing46226
Missing (%)54.3%
Infinite0
Infinite (%)0.0%
Mean1.937240056
Minimum-23.01
Maximum2827.217
Zeros262
Zeros (%)0.3%
Negative12
Negative (%)< 0.1%
Memory size665.5 KiB
2025-01-27T20:33:00.510513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-23.01
5-th percentile0.011
Q10.124
median0.55
Q31.773
95-th percentile6.5382
Maximum2827.217
Range2850.227
Interquartile range (IQR)1.649

Descriptive statistics

Standard deviation15.28903859
Coefficient of variation (CV)7.89217554
Kurtosis29951.67676
Mean1.937240056
Median Absolute Deviation (MAD)0.499
Skewness162.700005
Sum75445.814
Variance233.754701
MonotonicityNot monotonic
2025-01-27T20:33:00.562513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 262
 
0.3%
0.001 247
 
0.3%
0.002 224
 
0.3%
0.004 173
 
0.2%
0.003 171
 
0.2%
0.005 166
 
0.2%
0.006 155
 
0.2%
0.007 152
 
0.2%
0.008 132
 
0.2%
0.012 120
 
0.1%
Other values (6932) 37143
43.6%
(Missing) 46226
54.3%
ValueCountFrequency (%)
-23.01 1
< 0.1%
-6.32 1
< 0.1%
-4.349 1
< 0.1%
-0.786 1
< 0.1%
-0.398 1
< 0.1%
ValueCountFrequency (%)
2827.217 1
< 0.1%
327.086 1
< 0.1%
144.88 1
< 0.1%
143.023 1
< 0.1%
141.794 1
< 0.1%

new_tests_smoothed
Real number (ℝ)

Missing 

Distinct23778
Distinct (%)53.3%
Missing40546
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean41416.30743
Minimum0
Maximum4594014
Zeros88
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:00.614513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile143
Q11467
median5620
Q323577
95-th percentile168100
Maximum4594014
Range4594014
Interquartile range (IQR)22110

Descriptive statistics

Standard deviation148450.0041
Coefficient of variation (CV)3.584337024
Kurtosis78.31891662
Mean41416.30743
Median Absolute Deviation (MAD)5224
Skewness7.658775815
Sum1848202719
Variance2.203740372 × 1010
MonotonicityNot monotonic
2025-01-27T20:33:00.761513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 88
 
0.1%
1 73
 
0.1%
2 53
 
0.1%
5 34
 
< 0.1%
4 30
 
< 0.1%
341 28
 
< 0.1%
273 27
 
< 0.1%
8 27
 
< 0.1%
3 27
 
< 0.1%
57 24
 
< 0.1%
Other values (23768) 44214
51.9%
(Missing) 40546
47.6%
ValueCountFrequency (%)
0 88
0.1%
1 73
0.1%
2 53
0.1%
3 27
 
< 0.1%
4 30
 
< 0.1%
ValueCountFrequency (%)
4594014 1
< 0.1%
1902311 1
< 0.1%
1885327 1
< 0.1%
1876790 1
< 0.1%
1867397 1
< 0.1%

new_tests_smoothed_per_thousand
Real number (ℝ)

Missing 

Distinct7097
Distinct (%)15.9%
Missing40546
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean1.775552762
Minimum0
Maximum405.595
Zeros413
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:00.814513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.012
Q10.123
median0.559
Q31.834
95-th percentile6.1436
Maximum405.595
Range405.595
Interquartile range (IQR)1.711

Descriptive statistics

Standard deviation4.810456517
Coefficient of variation (CV)2.709272639
Kurtosis1173.653037
Mean1.775552762
Median Absolute Deviation (MAD)0.509
Skewness19.52540555
Sum79234.042
Variance23.1404919
MonotonicityNot monotonic
2025-01-27T20:33:00.871513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 413
 
0.5%
0.001 231
 
0.3%
0.002 217
 
0.3%
0.006 188
 
0.2%
0.004 171
 
0.2%
0.003 153
 
0.2%
0.005 148
 
0.2%
0.014 138
 
0.2%
0.007 138
 
0.2%
0.013 137
 
0.2%
Other values (7087) 42691
50.1%
(Missing) 40546
47.6%
ValueCountFrequency (%)
0 413
0.5%
0.001 231
0.3%
0.002 217
0.3%
0.003 153
 
0.2%
0.004 171
0.2%
ValueCountFrequency (%)
405.595 1
< 0.1%
66.931 1
< 0.1%
66.75 1
< 0.1%
66.534 1
< 0.1%
66.393 1
< 0.1%

positive_rate
Real number (ℝ)

Missing  Zeros 

Distinct561
Distinct (%)1.3%
Missing42267
Missing (%)49.6%
Infinite0
Infinite (%)0.0%
Mean0.08897072534
Minimum0
Maximum0.742
Zeros1264
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:00.924513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001
Q10.016
median0.053
Q30.128
95-th percentile0.297
Maximum0.742
Range0.742
Interquartile range (IQR)0.112

Descriptive statistics

Standard deviation0.09759395563
Coefficient of variation (CV)1.096922108
Kurtosis2.671159089
Mean0.08897072534
Median Absolute Deviation (MAD)0.045
Skewness1.623082108
Sum3817.2
Variance0.009524580175
MonotonicityNot monotonic
2025-01-27T20:33:00.980513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1264
 
1.5%
0.001 1147
 
1.3%
0.004 830
 
1.0%
0.002 808
 
0.9%
0.005 707
 
0.8%
0.003 685
 
0.8%
0.006 588
 
0.7%
0.007 568
 
0.7%
0.008 536
 
0.6%
0.009 518
 
0.6%
Other values (551) 35253
41.4%
(Missing) 42267
49.6%
ValueCountFrequency (%)
0 1264
1.5%
0.001 1147
1.3%
0.002 808
0.9%
0.003 685
0.8%
0.004 830
1.0%
ValueCountFrequency (%)
0.742 1
< 0.1%
0.636 1
< 0.1%
0.63 1
< 0.1%
0.628 2
< 0.1%
0.619 1
< 0.1%

tests_per_case
Real number (ℝ)

Missing 

Distinct5122
Distinct (%)12.1%
Missing42860
Missing (%)50.3%
Infinite0
Infinite (%)0.0%
Mean159.4553426
Minimum1.3
Maximum44258.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:01.037513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.3
5-th percentile3.4
Q17.7
median18.2
Q357.2
95-th percentile533.8
Maximum44258.7
Range44257.4
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation864.9287641
Coefficient of variation (CV)5.42426958
Kurtosis543.7249744
Mean159.4553426
Median Absolute Deviation (MAD)13.3
Skewness18.87672303
Sum6746715
Variance748101.767
MonotonicityNot monotonic
2025-01-27T20:33:01.090513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 243
 
0.3%
3.7 241
 
0.3%
4.2 241
 
0.3%
3.9 234
 
0.3%
4.1 227
 
0.3%
4 221
 
0.3%
3.6 221
 
0.3%
3.5 220
 
0.3%
3.8 218
 
0.3%
5.4 218
 
0.3%
Other values (5112) 40027
47.0%
(Missing) 42860
50.3%
ValueCountFrequency (%)
1.3 1
 
< 0.1%
1.6 9
 
< 0.1%
1.7 8
 
< 0.1%
1.8 16
 
< 0.1%
1.9 69
0.1%
ValueCountFrequency (%)
44258.7 1
< 0.1%
37002.3 1
< 0.1%
30601.4 1
< 0.1%
27035 1
< 0.1%
26975.5 1
< 0.1%

tests_units
Text

Missing 

Distinct4
Distinct (%)< 0.1%
Missing39092
Missing (%)45.9%
Memory size665.5 KiB
2025-01-27T20:33:01.141513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length15
Median length15
Mean length14.41459233
Min length13

Characters and Unicode

Total characters664210
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowtests performed
2nd rowtests performed
3rd rowtests performed
4th rowtests performed
5th rowtests performed
ValueCountFrequency (%)
tests 28555
31.0%
performed 28555
31.0%
tested 16641
18.1%
people 8568
 
9.3%
samples 8073
 
8.8%
units 883
 
1.0%
unclear 883
 
1.0%
2025-01-27T20:33:01.234514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 145039
21.8%
t 91275
13.7%
s 90780
13.7%
r 57993
 
8.7%
p 53764
 
8.1%
46079
 
6.9%
d 45196
 
6.8%
o 37123
 
5.6%
m 36628
 
5.5%
f 28555
 
4.3%
Other values (6) 31778
 
4.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 664210
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 145039
21.8%
t 91275
13.7%
s 90780
13.7%
r 57993
 
8.7%
p 53764
 
8.1%
46079
 
6.9%
d 45196
 
6.8%
o 37123
 
5.6%
m 36628
 
5.5%
f 28555
 
4.3%
Other values (6) 31778
 
4.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 664210
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 145039
21.8%
t 91275
13.7%
s 90780
13.7%
r 57993
 
8.7%
p 53764
 
8.1%
46079
 
6.9%
d 45196
 
6.8%
o 37123
 
5.6%
m 36628
 
5.5%
f 28555
 
4.3%
Other values (6) 31778
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 664210
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 145039
21.8%
t 91275
13.7%
s 90780
13.7%
r 57993
 
8.7%
p 53764
 
8.1%
46079
 
6.9%
d 45196
 
6.8%
o 37123
 
5.6%
m 36628
 
5.5%
f 28555
 
4.3%
Other values (6) 31778
 
4.8%

total_vaccinations
Real number (ℝ)

Missing 

Distinct8992
Distinct (%)95.9%
Missing75797
Missing (%)89.0%
Infinite0
Infinite (%)0.0%
Mean14482599.45
Minimum0
Maximum1134333474
Zeros128
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:01.282512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3128
Q162060.25
median480376
Q32997519.25
95-th percentile68421406.8
Maximum1134333474
Range1134333474
Interquartile range (IQR)2935459

Descriptive statistics

Standard deviation66376514.26
Coefficient of variation (CV)4.583190641
Kurtosis112.9770889
Mean14482599.45
Median Absolute Deviation (MAD)468264.5
Skewness9.428373222
Sum1.357598872 × 1011
Variance4.405841646 × 1015
MonotonicityNot monotonic
2025-01-27T20:33:01.341513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 128
 
0.2%
8649 10
 
< 0.1%
10702 7
 
< 0.1%
52000 6
 
< 0.1%
11 6
 
< 0.1%
2601 5
 
< 0.1%
6 5
 
< 0.1%
5 5
 
< 0.1%
841 5
 
< 0.1%
846 5
 
< 0.1%
Other values (8982) 9192
 
10.8%
(Missing) 75797
89.0%
ValueCountFrequency (%)
0 128
0.2%
1 2
 
< 0.1%
2 2
 
< 0.1%
5 5
 
< 0.1%
6 5
 
< 0.1%
ValueCountFrequency (%)
1134333474 1
< 0.1%
1112320708 1
< 0.1%
1087696981 1
< 0.1%
1065139208 1
< 0.1%
1045370981 1
< 0.1%

people_vaccinated
Real number (ℝ)

Missing 

Distinct8321
Distinct (%)95.2%
Missing76427
Missing (%)89.7%
Infinite0
Infinite (%)0.0%
Mean8974135.755
Minimum0
Maximum595234872
Zeros125
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:01.394512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2958
Q152258.5
median354813.5
Q32108087
95-th percentile43830658.1
Maximum595234872
Range595234872
Interquartile range (IQR)2055828.5

Descriptive statistics

Standard deviation37937502.02
Coefficient of variation (CV)4.227426803
Kurtosis100.2125497
Mean8974135.755
Median Absolute Deviation (MAD)343043.5
Skewness8.833916525
Sum7.846984304 × 1010
Variance1.43925406 × 1015
MonotonicityNot monotonic
2025-01-27T20:33:01.448512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 125
 
0.1%
8649 16
 
< 0.1%
10702 15
 
< 0.1%
841 11
 
< 0.1%
24773 10
 
< 0.1%
28500 6
 
< 0.1%
1781 6
 
< 0.1%
52000 6
 
< 0.1%
11 6
 
< 0.1%
225146 6
 
< 0.1%
Other values (8311) 8537
 
10.0%
(Missing) 76427
89.7%
ValueCountFrequency (%)
0 125
0.1%
1 2
 
< 0.1%
2 2
 
< 0.1%
5 2
 
< 0.1%
6 5
 
< 0.1%
ValueCountFrequency (%)
595234872 1
< 0.1%
589777392 1
< 0.1%
580920493 1
< 0.1%
572558181 1
< 0.1%
565137722 1
< 0.1%

people_fully_vaccinated
Real number (ℝ)

Missing 

Distinct5956
Distinct (%)92.6%
Missing78740
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean4618759.918
Minimum1
Maximum268002541
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:01.502512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1253
Q125807
median217890
Q31320154.5
95-th percentile23421401
Maximum268002541
Range268002540
Interquartile range (IQR)1294347.5

Descriptive statistics

Standard deviation18197671.29
Coefficient of variation (CV)3.939947435
Kurtosis76.99676253
Mean4618759.918
Median Absolute Deviation (MAD)213158
Skewness7.78223726
Sum2.970324503 × 1010
Variance3.311552404 × 1014
MonotonicityNot monotonic
2025-01-27T20:33:01.559512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 32
 
< 0.1%
2 24
 
< 0.1%
1 22
 
< 0.1%
19019 20
 
< 0.1%
820 11
 
< 0.1%
12272 9
 
< 0.1%
7 9
 
< 0.1%
448 9
 
< 0.1%
1753 8
 
< 0.1%
744 8
 
< 0.1%
Other values (5946) 6279
 
7.4%
(Missing) 78740
92.4%
ValueCountFrequency (%)
1 22
< 0.1%
2 24
< 0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
5 32
< 0.1%
ValueCountFrequency (%)
268002541 1
< 0.1%
263192812 1
< 0.1%
255747849 1
< 0.1%
250029440 1
< 0.1%
244623609 1
< 0.1%

new_vaccinations
Real number (ℝ)

Missing 

Distinct7085
Distinct (%)89.1%
Missing77217
Missing (%)90.7%
Infinite0
Infinite (%)0.0%
Mean422356.6289
Minimum0
Maximum24623727
Zeros149
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:01.615512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile186
Q13219.75
median19431.5
Q3111773.25
95-th percentile2239135.55
Maximum24623727
Range24623727
Interquartile range (IQR)108553.5

Descriptive statistics

Standard deviation1691168.22
Coefficient of variation (CV)4.004123777
Kurtosis71.20364727
Mean422356.6289
Median Absolute Deviation (MAD)18692
Skewness7.651505225
Sum3359424626
Variance2.860049949 × 1012
MonotonicityNot monotonic
2025-01-27T20:33:01.671512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 149
 
0.2%
1 12
 
< 0.1%
30 7
 
< 0.1%
534 6
 
< 0.1%
654 5
 
< 0.1%
1261 5
 
< 0.1%
90 5
 
< 0.1%
6 5
 
< 0.1%
353 4
 
< 0.1%
553 4
 
< 0.1%
Other values (7075) 7752
 
9.1%
(Missing) 77217
90.7%
ValueCountFrequency (%)
0 149
0.2%
1 12
 
< 0.1%
2 3
 
< 0.1%
3 4
 
< 0.1%
4 4
 
< 0.1%
ValueCountFrequency (%)
24623727 1
< 0.1%
22961024 1
< 0.1%
22557773 1
< 0.1%
22018077 1
< 0.1%
22012766 1
< 0.1%

new_vaccinations_smoothed
Real number (ℝ)

Missing 

Distinct9810
Distinct (%)65.0%
Missing70079
Missing (%)82.3%
Infinite0
Infinite (%)0.0%
Mean221424.7269
Minimum0
Maximum19664951
Zeros30
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:01.726512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88
Q1955
median6845
Q337758.75
95-th percentile892120.3
Maximum19664951
Range19664951
Interquartile range (IQR)36803.75

Descriptive statistics

Standard deviation1133430.054
Coefficient of variation (CV)5.118805247
Kurtosis128.3231672
Mean221424.7269
Median Absolute Deviation (MAD)6602
Skewness10.21621512
Sum3341741979
Variance1.284663687 × 1012
MonotonicityNot monotonic
2025-01-27T20:33:01.788512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
312 85
 
0.1%
1403 59
 
0.1%
955 59
 
0.1%
263 57
 
0.1%
403 53
 
0.1%
2915 50
 
0.1%
12222 49
 
0.1%
7712 48
 
0.1%
66 48
 
0.1%
75 48
 
0.1%
Other values (9800) 14536
 
17.1%
(Missing) 70079
82.3%
ValueCountFrequency (%)
0 30
< 0.1%
1 17
< 0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
5 2
 
< 0.1%
ValueCountFrequency (%)
19664951 1
< 0.1%
19064020 1
< 0.1%
18738896 1
< 0.1%
18691784 1
< 0.1%
18636995 1
< 0.1%

total_vaccinations_per_hundred
Real number (ℝ)

Missing 

Distinct3252
Distinct (%)34.7%
Missing75797
Missing (%)89.0%
Infinite0
Infinite (%)0.0%
Mean13.3390399
Minimum0
Maximum208.76
Zeros228
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:01.937512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.04
Q11.0625
median5.1
Q316.3275
95-th percentile58.5535
Maximum208.76
Range208.76
Interquartile range (IQR)15.265

Descriptive statistics

Standard deviation21.68234205
Coefficient of variation (CV)1.62547996
Kurtosis16.52489872
Mean13.3390399
Median Absolute Deviation (MAD)4.78
Skewness3.460221979
Sum125040.16
Variance470.1239566
MonotonicityNot monotonic
2025-01-27T20:33:01.989512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 228
 
0.3%
0.01 101
 
0.1%
0.02 69
 
0.1%
0.03 67
 
0.1%
0.05 56
 
0.1%
0.04 56
 
0.1%
0.06 49
 
0.1%
0.07 44
 
0.1%
0.12 35
 
< 0.1%
0.13 33
 
< 0.1%
Other values (3242) 8636
 
10.1%
(Missing) 75797
89.0%
ValueCountFrequency (%)
0 228
0.3%
0.01 101
0.1%
0.02 69
 
0.1%
0.03 67
 
0.1%
0.04 56
 
0.1%
ValueCountFrequency (%)
208.76 1
< 0.1%
206.38 1
< 0.1%
204.07 1
< 0.1%
201.75 1
< 0.1%
199.95 1
< 0.1%

people_vaccinated_per_hundred
Real number (ℝ)

Missing 

Distinct2698
Distinct (%)30.9%
Missing76427
Missing (%)89.7%
Infinite0
Infinite (%)0.0%
Mean9.35913312
Minimum0
Maximum111.29
Zeros253
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:02.043512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.03
Q10.8975
median3.785
Q311.73
95-th percentile40.0685
Maximum111.29
Range111.29
Interquartile range (IQR)10.8325

Descriptive statistics

Standard deviation13.80896803
Coefficient of variation (CV)1.475453747
Kurtosis9.611171744
Mean9.35913312
Median Absolute Deviation (MAD)3.505
Skewness2.752838964
Sum81836.26
Variance190.6875981
MonotonicityNot monotonic
2025-01-27T20:33:02.098512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 253
 
0.3%
0.01 98
 
0.1%
0.02 67
 
0.1%
0.03 50
 
0.1%
0.06 48
 
0.1%
0.04 48
 
0.1%
0.07 46
 
0.1%
0.05 44
 
0.1%
0.49 40
 
< 0.1%
0.3 35
 
< 0.1%
Other values (2688) 8015
 
9.4%
(Missing) 76427
89.7%
ValueCountFrequency (%)
0 253
0.3%
0.01 98
 
0.1%
0.02 67
 
0.1%
0.03 50
 
0.1%
0.04 48
 
0.1%
ValueCountFrequency (%)
111.29 1
< 0.1%
111.24 1
< 0.1%
109 1
< 0.1%
106.77 1
< 0.1%
106.59 1
< 0.1%

people_fully_vaccinated_per_hundred
Real number (ℝ)

Missing 

Distinct1549
Distinct (%)24.1%
Missing78740
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean5.087037786
Minimum0
Maximum97.47
Zeros258
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:02.155512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.42
median2
Q35.52
95-th percentile20.16
Maximum97.47
Range97.47
Interquartile range (IQR)5.1

Descriptive statistics

Standard deviation9.639008937
Coefficient of variation (CV)1.894817641
Kurtosis26.89309133
Mean5.087037786
Median Absolute Deviation (MAD)1.86
Skewness4.557700215
Sum32714.74
Variance92.91049329
MonotonicityNot monotonic
2025-01-27T20:33:02.210512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 258
 
0.3%
0.01 139
 
0.2%
0.02 73
 
0.1%
0.05 67
 
0.1%
0.04 62
 
0.1%
0.03 57
 
0.1%
0.07 54
 
0.1%
0.06 47
 
0.1%
0.08 44
 
0.1%
0.12 41
 
< 0.1%
Other values (1539) 5589
 
6.6%
(Missing) 78740
92.4%
ValueCountFrequency (%)
0 258
0.3%
0.01 139
0.2%
0.02 73
 
0.1%
0.03 57
 
0.1%
0.04 62
 
0.1%
ValueCountFrequency (%)
97.47 1
< 0.1%
95.14 1
< 0.1%
95.06 1
< 0.1%
94.98 1
< 0.1%
93.36 1
< 0.1%

new_vaccinations_smoothed_per_million
Real number (ℝ)

Missing 

Distinct5564
Distinct (%)36.9%
Missing70079
Missing (%)82.3%
Infinite0
Infinite (%)0.0%
Mean2774.85436
Minimum0
Maximum118759
Zeros47
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:02.266512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q1322
median1361
Q33485.5
95-th percentile9932
Maximum118759
Range118759
Interquartile range (IQR)3163.5

Descriptive statistics

Standard deviation4635.192312
Coefficient of variation (CV)1.670427241
Kurtosis142.1110198
Mean2774.85436
Median Absolute Deviation (MAD)1188
Skewness8.251268818
Sum41878102
Variance21485007.77
MonotonicityNot monotonic
2025-01-27T20:33:02.322512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 80
 
0.1%
8058 78
 
0.1%
4 74
 
0.1%
43 68
 
0.1%
80 65
 
0.1%
68 57
 
0.1%
3671 57
 
0.1%
225 55
 
0.1%
3 53
 
0.1%
191 53
 
0.1%
Other values (5554) 14452
 
17.0%
(Missing) 70079
82.3%
ValueCountFrequency (%)
0 47
0.1%
1 41
< 0.1%
2 31
< 0.1%
3 53
0.1%
4 74
0.1%
ValueCountFrequency (%)
118759 1
< 0.1%
118671 1
< 0.1%
111389 1
< 0.1%
110456 1
< 0.1%
102322 1
< 0.1%

stringency_index
Real number (ℝ)

Missing 

Distinct175
Distinct (%)0.2%
Missing12964
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean58.74003255
Minimum0
Maximum100
Zeros536
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:02.379511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17.59
Q144.44
median61.11
Q375.93
95-th percentile89.81
Maximum100
Range100
Interquartile range (IQR)31.49

Descriptive statistics

Standard deviation21.66322292
Coefficient of variation (CV)0.3687982791
Kurtosis-0.3810579114
Mean58.74003255
Median Absolute Deviation (MAD)15.74
Skewness-0.4748819858
Sum4241441.53
Variance469.2952271
MonotonicityNot monotonic
2025-01-27T20:33:02.435511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60.19 1634
 
1.9%
50.93 1404
 
1.6%
71.3 1310
 
1.5%
47.22 1207
 
1.4%
52.78 1193
 
1.4%
80.56 1123
 
1.3%
57.41 1114
 
1.3%
64.81 1086
 
1.3%
65.74 1079
 
1.3%
75 1060
 
1.2%
Other values (165) 59997
70.4%
(Missing) 12964
 
15.2%
ValueCountFrequency (%)
0 536
0.6%
2.78 173
 
0.2%
5.56 146
 
0.2%
6.48 50
 
0.1%
8.33 428
0.5%
ValueCountFrequency (%)
100 446
0.5%
98.15 1
 
< 0.1%
97.22 85
 
0.1%
96.3 802
0.9%
95.37 15
 
< 0.1%

population
Real number (ℝ)

Distinct217
Distinct (%)0.3%
Missing549
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean128421271.5
Minimum809
Maximum7794798729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:02.490511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum809
5-th percentile97928
Q12416664
median10099270
Q336910558
95-th percentile331002647
Maximum7794798729
Range7794797920
Interquartile range (IQR)34493894

Descriptive statistics

Standard deviation690439268.7
Coefficient of variation (CV)5.376362192
Kurtosis90.73698038
Mean128421271.5
Median Absolute Deviation (MAD)9312711
Skewness9.156601326
Sum1.086726484 × 1013
Variance4.767063838 × 1017
MonotonicityNot monotonic
2025-01-27T20:33:02.545511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45195777 486
 
0.6%
128932753 486
 
0.6%
69799978 483
 
0.6%
32971846 481
 
0.6%
23816775 471
 
0.6%
51269183 466
 
0.5%
592072204 465
 
0.5%
1439323774 465
 
0.5%
4639847425 465
 
0.5%
126476458 465
 
0.5%
Other values (207) 79889
93.8%
(Missing) 549
 
0.6%
ValueCountFrequency (%)
809 421
0.5%
3483 67
 
0.1%
4999 73
 
0.1%
6071 66
 
0.1%
10834 8
 
< 0.1%
ValueCountFrequency (%)
7794798729 465
0.5%
4639847425 465
0.5%
1439323774 465
0.5%
1380004385 457
0.5%
1340598113 443
0.5%

population_density
Real number (ℝ)

Missing 

Distinct200
Distinct (%)0.3%
Missing5897
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean349.043245
Minimum0.137
Maximum20546.766
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:02.600512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.137
5-th percentile4.289
Q136.253
median82.805
Q3208.354
95-th percentile622.962
Maximum20546.766
Range20546.629
Interquartile range (IQR)172.101

Descriptive statistics

Standard deviation1699.215916
Coefficient of variation (CV)4.868210287
Kurtosis104.329267
Mean349.043245
Median Absolute Deviation (MAD)58.915
Skewness9.883022473
Sum27670054.2
Variance2887334.728
MonotonicityNot monotonic
2025-01-27T20:33:02.655511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.177 486
 
0.6%
66.444 486
 
0.6%
135.132 483
 
0.6%
25.129 481
 
0.6%
527.967 466
 
0.5%
147.674 465
 
0.5%
347.778 465
 
0.5%
58.045 465
 
0.5%
35.608 465
 
0.5%
7915.731 464
 
0.5%
Other values (190) 74548
87.5%
(Missing) 5897
 
6.9%
ValueCountFrequency (%)
0.137 93
 
0.1%
1.98 417
0.5%
3.078 413
0.5%
3.202 461
0.5%
3.404 429
0.5%
ValueCountFrequency (%)
20546.766 81
 
0.1%
19347.5 427
0.5%
7915.731 464
0.5%
7039.714 140
 
0.2%
3457.1 111
 
0.1%

median_age
Real number (ℝ)

Missing 

Distinct134
Distinct (%)0.2%
Missing8465
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean30.522465
Minimum15.1
Maximum48.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:02.705511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum15.1
5-th percentile17.6
Q122
median29.7
Q339.1
95-th percentile44.4
Maximum48.2
Range33.1
Interquartile range (IQR)17.1

Descriptive statistics

Standard deviation9.114989627
Coefficient of variation (CV)0.2986321592
Kurtosis-1.2384383
Mean30.522465
Median Absolute Deviation (MAD)8.6
Skewness0.1041414874
Sum2341256.2
Variance83.08303589
MonotonicityNot monotonic
2025-01-27T20:33:02.760511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32.4 1713
 
2.0%
31.9 1338
 
1.6%
38.7 1322
 
1.6%
29.1 1312
 
1.5%
28.6 1295
 
1.5%
30.6 1269
 
1.5%
18.7 1234
 
1.4%
17.7 1225
 
1.4%
20.3 1212
 
1.4%
42.4 914
 
1.1%
Other values (124) 63872
75.0%
(Missing) 8465
 
9.9%
ValueCountFrequency (%)
15.1 407
0.5%
16.4 808
0.9%
16.7 408
0.5%
16.8 818
1.0%
17 416
0.5%
ValueCountFrequency (%)
48.2 465
0.5%
47.9 456
0.5%
46.6 460
0.5%
46.2 430
0.5%
45.5 455
0.5%

aged_65_older
Real number (ℝ)

Missing 

Distinct184
Distinct (%)0.2%
Missing9341
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean8.773478373
Minimum1.144
Maximum27.049
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:02.815511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.144
5-th percentile2.409
Q13.441
median6.378
Q314.178
95-th percentile19.754
Maximum27.049
Range25.905
Interquartile range (IQR)10.737

Descriptive statistics

Standard deviation6.224095299
Coefficient of variation (CV)0.7094216267
Kurtosis-0.6517171706
Mean8.773478373
Median Absolute Deviation (MAD)3.404
Skewness0.7937618621
Sum665292.865
Variance38.73936229
MonotonicityNot monotonic
2025-01-27T20:33:02.872511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.933 827
 
1.0%
11.198 486
 
0.6%
6.857 486
 
0.6%
11.373 483
 
0.6%
7.151 481
 
0.6%
13.914 466
 
0.5%
10.641 465
 
0.5%
8.696 465
 
0.5%
27.049 465
 
0.5%
15.413 465
 
0.5%
Other values (174) 70741
83.1%
(Missing) 9341
 
11.0%
ValueCountFrequency (%)
1.144 458
0.5%
1.307 427
0.5%
2.168 406
0.5%
2.339 410
0.5%
2.345 432
0.5%
ValueCountFrequency (%)
27.049 465
0.5%
23.021 456
0.5%
21.502 430
0.5%
21.453 460
0.5%
21.228 458
0.5%

aged_70_older
Real number (ℝ)

Missing 

Distinct182
Distinct (%)0.2%
Missing8895
Missing (%)10.4%
Infinite0
Infinite (%)0.0%
Mean5.557221669
Minimum0.526
Maximum18.493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:02.926511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.526
5-th percentile1.387
Q12.043
median3.871
Q38.678
95-th percentile13.748
Maximum18.493
Range17.967
Interquartile range (IQR)6.635

Descriptive statistics

Standard deviation4.248992535
Coefficient of variation (CV)0.7645893557
Kurtosis-0.3128962462
Mean5.557221669
Median Absolute Deviation (MAD)2.115
Skewness0.9251164864
Sum423882.64
Variance18.05393757
MonotonicityNot monotonic
2025-01-27T20:33:02.981511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.053 874
 
1.0%
1.845 838
 
1.0%
2.063 826
 
1.0%
1.726 788
 
0.9%
7.441 486
 
0.6%
4.321 486
 
0.6%
6.89 483
 
0.6%
4.455 481
 
0.6%
8.353 471
 
0.6%
8.622 466
 
0.5%
Other values (172) 70077
82.3%
(Missing) 8895
 
10.4%
ValueCountFrequency (%)
0.526 458
0.5%
0.617 427
0.5%
1.114 432
0.5%
1.285 396
0.5%
1.308 406
0.5%
ValueCountFrequency (%)
18.493 465
0.5%
16.24 456
0.5%
15.957 460
0.5%
14.924 430
0.5%
14.524 430
0.5%

gdp_per_capita
Real number (ℝ)

Missing 

Distinct190
Distinct (%)0.2%
Missing8125
Missing (%)9.5%
Infinite0
Infinite (%)0.0%
Mean19138.88231
Minimum661.24
Maximum116935.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:03.037511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum661.24
5-th percentile1416.44
Q14466.507
median12951.839
Q327216.445
95-th percentile57410.166
Maximum116935.6
Range116274.36
Interquartile range (IQR)22749.938

Descriptive statistics

Standard deviation19821.32109
Coefficient of variation (CV)1.035657191
Kurtosis4.243486492
Mean19138.88231
Median Absolute Deviation (MAD)9815.198
Skewness1.836633154
Sum1474574327
Variance392884769.8
MonotonicityNot monotonic
2025-01-27T20:33:03.190511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18933.907 486
 
0.6%
17336.469 486
 
0.6%
16277.671 483
 
0.6%
12236.706 481
 
0.6%
35938.374 466
 
0.5%
15308.712 465
 
0.5%
39002.223 465
 
0.5%
54225.446 465
 
0.5%
15469.207 465
 
0.5%
85535.383 464
 
0.5%
Other values (180) 72320
84.9%
(Missing) 8125
 
9.5%
ValueCountFrequency (%)
661.24 412
0.5%
702.225 396
0.5%
752.788 411
0.5%
808.133 416
0.5%
926 407
0.5%
ValueCountFrequency (%)
116935.6 427
0.5%
104861.851 81
 
0.1%
94277.965 432
0.5%
85535.383 464
0.5%
71809.251 418
0.5%

extreme_poverty
Real number (ℝ)

Missing 

Distinct75
Distinct (%)0.1%
Missing32722
Missing (%)38.4%
Infinite0
Infinite (%)0.0%
Mean13.34872924
Minimum0.1
Maximum77.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:03.247510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.5
median2.2
Q321.2
95-th percentile59.6
Maximum77.6
Range77.5
Interquartile range (IQR)20.7

Descriptive statistics

Standard deviation19.9429844
Coefficient of variation (CV)1.49399872
Kurtosis1.69459856
Mean13.34872924
Median Absolute Deviation (MAD)2
Skewness1.646457899
Sum700127.5
Variance397.7226269
MonotonicityNot monotonic
2025-01-27T20:33:03.306511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2 5691
 
6.7%
0.5 4355
 
5.1%
0.1 3077
 
3.6%
0.7 3062
 
3.6%
1 1736
 
2.0%
2 1343
 
1.6%
1.3 1296
 
1.5%
1.5 1270
 
1.5%
2.5 918
 
1.1%
0.6 899
 
1.1%
Other values (65) 28802
33.8%
(Missing) 32722
38.4%
ValueCountFrequency (%)
0.1 3077
3.6%
0.2 5691
6.7%
0.5 4355
5.1%
0.6 899
 
1.1%
0.7 3062
3.6%
ValueCountFrequency (%)
77.6 407
0.5%
77.1 416
0.5%
71.7 396
0.5%
71.4 398
0.5%
67.1 402
0.5%

cardiovasc_death_rate
Real number (ℝ)

Missing 

Distinct188
Distinct (%)0.2%
Missing7537
Missing (%)8.8%
Infinite0
Infinite (%)0.0%
Mean257.783338
Minimum79.37
Maximum724.417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:03.361511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum79.37
5-th percentile103.957
Q1167.295
median242.648
Q3329.635
95-th percentile466.792
Maximum724.417
Range645.047
Interquartile range (IQR)162.34

Descriptive statistics

Standard deviation118.7656188
Coefficient of variation (CV)0.4607187562
Kurtosis0.7612161049
Mean257.783338
Median Absolute Deviation (MAD)80.04
Skewness0.874138347
Sum20012751.66
Variance14105.27222
MonotonicityNot monotonic
2025-01-27T20:33:03.416511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191.032 486
 
0.6%
152.783 486
 
0.6%
109.861 483
 
0.6%
85.755 481
 
0.6%
103.957 471
 
0.6%
85.998 466
 
0.5%
79.37 465
 
0.5%
233.07 465
 
0.5%
151.089 465
 
0.5%
261.899 465
 
0.5%
Other values (178) 72901
85.6%
(Missing) 7537
 
8.8%
ValueCountFrequency (%)
79.37 465
0.5%
85.755 481
0.6%
85.998 466
0.5%
86.06 463
0.5%
92.243 464
0.5%
ValueCountFrequency (%)
724.417 412
0.5%
597.029 432
0.5%
561.494 407
0.5%
559.812 426
0.5%
557.793 185
0.2%

diabetes_prevalence
Real number (ℝ)

Missing 

Distinct141
Distinct (%)0.2%
Missing6392
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean7.820935782
Minimum0.99
Maximum30.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:03.471510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.99
5-th percentile2.42
Q15.29
median7.11
Q310.08
95-th percentile16.52
Maximum30.53
Range29.54
Interquartile range (IQR)4.79

Descriptive statistics

Standard deviation3.977056447
Coefficient of variation (CV)0.5085141418
Kurtosis2.734952475
Mean7.820935782
Median Absolute Deviation (MAD)2.33
Skewness1.205719453
Sum616125.5
Variance15.81697798
MonotonicityNot monotonic
2025-01-27T20:33:03.525510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.42 5331
 
6.3%
7.11 2895
 
3.4%
3.94 2800
 
3.3%
10.08 2123
 
2.5%
11.62 1712
 
2.0%
6.05 1622
 
1.9%
7.2 1246
 
1.5%
6.1 1236
 
1.5%
9.74 895
 
1.1%
5.72 884
 
1.0%
Other values (131) 58035
68.1%
(Missing) 6392
 
7.5%
ValueCountFrequency (%)
0.99 411
 
0.5%
1.82 407
 
0.5%
1.91 410
 
0.5%
2.16 93
 
0.1%
2.42 5331
6.3%
ValueCountFrequency (%)
30.53 185
0.2%
24.07 8
 
< 0.1%
22.02 409
0.5%
18.68 201
0.2%
17.72 425
0.5%

female_smokers
Real number (ℝ)

Missing 

Distinct110
Distinct (%)0.2%
Missing24343
Missing (%)28.6%
Infinite0
Infinite (%)0.0%
Mean10.52027208
Minimum0.1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:03.581510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.4
Q11.9
median6.3
Q319.3
95-th percentile30.1
Maximum44
Range43.9
Interquartile range (IQR)17.4

Descriptive statistics

Standard deviation10.40296469
Coefficient of variation (CV)0.9888493961
Kurtosis-0.1118361576
Mean10.52027208
Median Absolute Deviation (MAD)5.3
Skewness0.9681623219
Sum639927.11
Variance108.2216744
MonotonicityNot monotonic
2025-01-27T20:33:03.640510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.9 1815
 
2.1%
2 1720
 
2.0%
1 1350
 
1.6%
0.8 1313
 
1.5%
0.3 1299
 
1.5%
1.7 1234
 
1.4%
1.6 1226
 
1.4%
0.4 1195
 
1.4%
2.8 1028
 
1.2%
30.1 882
 
1.0%
Other values (100) 47766
56.1%
(Missing) 24343
28.6%
ValueCountFrequency (%)
0.1 407
 
0.5%
0.2 848
1.0%
0.3 1299
1.5%
0.4 1195
1.4%
0.5 432
 
0.5%
ValueCountFrequency (%)
44 410
0.5%
43 8
 
< 0.1%
37.7 430
0.5%
35.3 430
0.5%
34.3 431
0.5%

male_smokers
Real number (ℝ)

Missing 

Distinct125
Distinct (%)0.2%
Missing25240
Missing (%)29.6%
Infinite0
Infinite (%)0.0%
Mean32.6569701
Minimum7.7
Maximum78.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:03.694510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7.7
5-th percentile13.5
Q121.6
median31.4
Q341.1
95-th percentile53.3
Maximum78.1
Range70.4
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation13.47529732
Coefficient of variation (CV)0.4126315846
Kurtosis0.2788051816
Mean32.6569701
Median Absolute Deviation (MAD)9.8
Skewness0.5343436929
Sum1957164.875
Variance181.5836379
MonotonicityNot monotonic
2025-01-27T20:33:03.750510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.7 1675
 
2.0%
16.5 1281
 
1.5%
33.7 925
 
1.1%
31.4 907
 
1.1%
16.6 889
 
1.0%
37.8 887
 
1.0%
33.1 883
 
1.0%
34.8 881
 
1.0%
18.8 862
 
1.0%
30.9 849
 
1.0%
Other values (115) 49892
58.6%
(Missing) 25240
29.6%
ValueCountFrequency (%)
7.7 413
0.5%
8.5 414
0.5%
9.9 418
0.5%
10.8 428
0.5%
11.4 406
0.5%
ValueCountFrequency (%)
78.1 405
0.5%
76.1 425
0.5%
65.8 423
0.5%
58.3 456
0.5%
55.5 430
0.5%

handwashing_facilities
Real number (ℝ)

Missing 

Distinct95
Distinct (%)0.2%
Missing46164
Missing (%)54.2%
Infinite0
Infinite (%)0.0%
Mean50.91622009
Minimum1.188
Maximum98.999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:03.806510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.188
5-th percentile4.617
Q120.859
median49.839
Q383.241
95-th percentile95.803
Maximum98.999
Range97.811
Interquartile range (IQR)62.382

Descriptive statistics

Standard deviation31.76323288
Coefficient of variation (CV)0.6238332859
Kurtosis-1.485096016
Mean50.91622009
Median Absolute Deviation (MAD)30.564
Skewness-0.05666741379
Sum1986088.997
Variance1008.902963
MonotonicityNot monotonic
2025-01-27T20:33:03.862510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.847 486
 
0.6%
90.67 483
 
0.6%
60.13 465
 
0.5%
85.847 464
 
0.5%
47.782 462
 
0.5%
66.229 460
 
0.5%
78.463 457
 
0.5%
59.55 457
 
0.5%
43.993 449
 
0.5%
89.827 442
 
0.5%
Other values (85) 34382
40.4%
(Missing) 46164
54.2%
ValueCountFrequency (%)
1.188 411
0.5%
2.117 353
0.4%
2.735 421
0.5%
4.472 416
0.5%
4.617 413
0.5%
ValueCountFrequency (%)
98.999 414
0.5%
97.719 430
0.5%
97.4 432
0.5%
97.164 422
0.5%
95.803 419
0.5%

hospital_beds_per_thousand
Real number (ℝ)

Missing 

Distinct100
Distinct (%)0.1%
Missing14324
Missing (%)16.8%
Infinite0
Infinite (%)0.0%
Mean3.029584344
Minimum0.1
Maximum13.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:03.916510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.5
Q11.3
median2.4
Q33.861
95-th percentile7.454
Maximum13.8
Range13.7
Interquartile range (IQR)2.561

Descriptive statistics

Standard deviation2.463559047
Coefficient of variation (CV)0.8131673416
Kurtosis4.042903639
Mean3.029584344
Median Absolute Deviation (MAD)1.3
Skewness1.7672778
Sum214636.962
Variance6.069123178
MonotonicityNot monotonic
2025-01-27T20:33:03.973510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7 2854
 
3.4%
0.8 2519
 
3.0%
1.3 2464
 
2.9%
1.6 2196
 
2.6%
1.4 1887
 
2.2%
2.1 1715
 
2.0%
2.3 1700
 
2.0%
0.3 1697
 
2.0%
1.5 1671
 
2.0%
0.9 1632
 
1.9%
Other values (90) 50512
59.3%
(Missing) 14324
 
16.8%
ValueCountFrequency (%)
0.1 402
 
0.5%
0.2 407
 
0.5%
0.3 1697
2.0%
0.4 417
 
0.5%
0.5 1249
1.5%
ValueCountFrequency (%)
13.8 427
0.5%
13.05 465
0.5%
12.27 466
0.5%
11 428
0.5%
8.8 424
0.5%

life_expectancy
Real number (ℝ)

Missing 

Distinct195
Distinct (%)0.2%
Missing4338
Missing (%)5.1%
Infinite0
Infinite (%)0.0%
Mean73.16541561
Minimum53.28
Maximum86.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:04.028510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum53.28
5-th percentile59.29
Q167.92
median74.53
Q378.73
95-th percentile83.44
Maximum86.75
Range33.47
Interquartile range (IQR)10.81

Descriptive statistics

Standard deviation7.549525873
Coefficient of variation (CV)0.1031843503
Kurtosis-0.3755214407
Mean73.16541561
Median Absolute Deviation (MAD)4.71
Skewness-0.5925224209
Sum5914180.04
Variance56.9953409
MonotonicityNot monotonic
2025-01-27T20:33:04.082510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.88 1265
 
1.5%
72.58 921
 
1.1%
81.32 910
 
1.1%
75.05 905
 
1.1%
76.68 886
 
1.0%
77.29 853
 
1.0%
71.72 837
 
1.0%
72.06 837
 
1.0%
61.58 813
 
1.0%
73 627
 
0.7%
Other values (185) 71979
84.5%
(Missing) 4338
 
5.1%
ValueCountFrequency (%)
53.28 412
0.5%
54.24 408
0.5%
54.33 353
0.4%
54.69 428
0.5%
54.7 396
0.5%
ValueCountFrequency (%)
86.75 427
0.5%
84.97 429
0.5%
84.86 140
 
0.2%
84.63 465
0.5%
84.24 81
 
0.1%

human_development_index
Real number (ℝ)

Missing 

Distinct152
Distinct (%)0.2%
Missing7654
Missing (%)9.0%
Infinite0
Infinite (%)0.0%
Mean0.727123431
Minimum0.394
Maximum0.957
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size665.5 KiB
2025-01-27T20:33:04.137510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.394
5-th percentile0.459
Q10.602
median0.748
Q30.848
95-th percentile0.94
Maximum0.957
Range0.563
Interquartile range (IQR)0.246

Descriptive statistics

Standard deviation0.1500567149
Coefficient of variation (CV)0.2063703472
Kurtosis-0.877183306
Mean0.727123431
Median Absolute Deviation (MAD)0.114
Skewness-0.3753680421
Sum56364.427
Variance0.02251701769
MonotonicityNot monotonic
2025-01-27T20:33:04.190510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.779 1717
 
2.0%
0.919 1324
 
1.6%
0.718 1298
 
1.5%
0.48 1229
 
1.4%
0.777 964
 
1.1%
0.938 922
 
1.1%
0.916 898
 
1.1%
0.944 890
 
1.0%
0.892 887
 
1.0%
0.81 883
 
1.0%
Other values (142) 66505
78.1%
(Missing) 7654
 
9.0%
ValueCountFrequency (%)
0.394 407
0.5%
0.397 412
0.5%
0.398 408
0.5%
0.433 787
0.9%
0.434 402
0.5%
ValueCountFrequency (%)
0.957 431
0.5%
0.955 858
1.0%
0.949 569
0.7%
0.947 460
0.5%
0.945 455
0.5%